mirror of
https://github.com/BlackMATov/flat.hpp.git
synced 2025-12-13 01:36:27 +07:00
87 lines
2.5 KiB
C++
87 lines
2.5 KiB
C++
/*******************************************************************************
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* This file is part of the "https://github.com/blackmatov/flat.hpp"
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* For conditions of distribution and use, see copyright notice in LICENSE.md
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* Copyright (C) 2019-2021, by Matvey Cherevko (blackmatov@gmail.com)
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******************************************************************************/
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#include "bench_base.hpp"
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using namespace flat_hpp_unbench;
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#include <flat.hpp/flat_map.hpp>
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using namespace flat_hpp;
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#ifdef BOOST_CONTAINER_FOUND
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# include <boost/container/flat_map.hpp>
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#endif
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namespace
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{
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template < typename Value >
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void flat_map_insert(benchmark::State& state) {
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std::vector<int> v;
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generate_random_vector(state.range(), v);
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for ( auto _ : state ) {
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flat_map<int, Value> s;
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for ( auto e : v ) {
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s.emplace(e, e);
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}
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}
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}
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#ifdef BOOST_CONTAINER_FOUND
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template < typename Value >
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void boost_flat_map_insert(benchmark::State& state) {
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std::vector<int> v;
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generate_random_vector(state.range(), v);
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for ( auto _ : state ) {
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boost::container::flat_map<int, Value> s;
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for ( auto e : v ) {
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s.emplace(e, e);
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}
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}
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}
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#endif
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template < typename Value >
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void std_map_insert(benchmark::State& state) {
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std::vector<int> v;
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generate_random_vector(state.range(), v);
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for ( auto _ : state ) {
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std::map<int, Value> s;
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for ( auto e : v ) {
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s.emplace(e, e);
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}
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}
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}
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template < typename Value >
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void std_unordered_map_insert(benchmark::State& state) {
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std::vector<int> v;
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generate_random_vector(state.range(), v);
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for ( auto _ : state ) {
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std::unordered_map<int, Value> s;
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for ( auto e : v ) {
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s.emplace(e, e);
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}
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}
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}
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}
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BENCHMARK_TEMPLATE(flat_map_insert, vec4)
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->ComputeStatistics("min", min_bench_statistics)
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->DenseRange(1,401,50);
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#ifdef BOOST_CONTAINER_FOUND
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BENCHMARK_TEMPLATE(boost_flat_map_insert, vec4)
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->ComputeStatistics("min", min_bench_statistics)
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->DenseRange(1,401,50);
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#endif
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BENCHMARK_TEMPLATE(std_map_insert, vec4)
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->ComputeStatistics("min", min_bench_statistics)
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->DenseRange(1,401,50);
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BENCHMARK_TEMPLATE(std_unordered_map_insert, vec4)
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->ComputeStatistics("min", min_bench_statistics)
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->DenseRange(1,401,50);
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